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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

(Hyper)Graph Embedding and Classification via Simplicial Complexes
Alessio Martino, Alessandro Giuliani, Antonello Rizzi
Algorithms (2019) Vol. 12, Iss. 11, pp. 223-223
Open Access | Times Cited: 24

Showing 24 citing articles:

Hierarchical Representation Learning in Graph Neural Networks With Node Decimation Pooling
Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, et al.
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 33, Iss. 5, pp. 2195-2207
Open Access | Times Cited: 51
MobileGCN applied to low-dimensional node feature learning
Wei Dong, Junsheng Wu, Zongwen Bai, et al.
Pattern Recognition (2020) Vol. 112, pp. 107788-107788
Closed Access | Times Cited: 33
Netpro2vec: A Graph Embedding Framework for Biomedical Applications
Ichcha Manipur, Mario Manzo, Ilaria Granata, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 19, Iss. 2, pp. 729-740
Closed Access | Times Cited: 23
Binarized simplicial Convolutional Neural Networks
Yi Yan, Erçan E. Kuruoğlu
Neural Networks (2024) Vol. 183, pp. 106928-106928
Open Access | Times Cited: 2
Metabolic networks classification and knowledge discovery by information granulation
Alessio Martino, Alessandro Giuliani, Virginia Todde, et al.
Computational Biology and Chemistry (2019) Vol. 84, pp. 107187-107187
Closed Access | Times Cited: 21
A generalized framework for ANFIS synthesis procedures by clustering techniques
Stefano Leonori, Alessio Martino, Massimiliano Luzi, et al.
Applied Soft Computing (2020) Vol. 96, pp. 106622-106622
Open Access | Times Cited: 15
Exploiting Cliques for Granular Computing-based Graph Classification
Luca Baldini, Alessio Martino, Antonello Rizzi
2022 International Joint Conference on Neural Networks (IJCNN) (2020), pp. 1-9
Open Access | Times Cited: 11
(Hyper)graph Kernels over Simplicial Complexes
Alessio Martino, Antonello Rizzi
Entropy (2020) Vol. 22, Iss. 10, pp. 1155-1155
Open Access | Times Cited: 11
On Information Granulation via Data Clustering for Granular Computing-Based Pattern Recognition: A Graph Embedding Case Study
Alessio Martino, Luca Baldini, Antonello Rizzi
Algorithms (2022) Vol. 15, Iss. 5, pp. 148-148
Open Access | Times Cited: 7
An Ecology-based Index for Text Embedding and Classification
Alessio Martino, Enrico De Santis, Antonello Rizzi
2022 International Joint Conference on Neural Networks (IJCNN) (2020), pp. 1-8
Open Access | Times Cited: 9
Towards a Class-Aware Information Granulation for Graph Embedding and Classification
Luca Baldini, Alessio Martino, Antonello Rizzi
Studies in computational intelligence (2021), pp. 263-290
Closed Access | Times Cited: 9
On the Optimization of Embedding Spaces via Information Granulation for Pattern Recognition
Alessio Martino, Fabio Massimo Frattale Mascioli, Antonello Rizzi
2022 International Joint Conference on Neural Networks (IJCNN) (2020), pp. 1-8
Open Access | Times Cited: 8
An Enhanced Filtering-Based Information Granulation Procedure for Graph Embedding and Classification
Alessio Martino, Antonello Rizzi
IEEE Access (2021) Vol. 9, pp. 15426-15440
Open Access | Times Cited: 8
A Cooperative Coevolutionary Approach to Discretization-Based Feature Selection for High-Dimensional Data
Yu Zhou, Junhao Kang, Xiao Zhang
Entropy (2020) Vol. 22, Iss. 6, pp. 613-613
Open Access | Times Cited: 6
Modelling and Recognition of Protein Contact Networks by Multiple Kernel Learning and Dissimilarity Representations
Alessio Martino, Enrico De Santis, Alessandro Giuliani, et al.
Entropy (2020) Vol. 22, Iss. 7, pp. 794-794
Open Access | Times Cited: 6
Intrusion Detection in Wi-Fi Networks by Modular and Optimized Ensemble of Classifiers: An Extended Analysis
Giuseppe Granato, Alessio Martino, Luca Baldini, et al.
SN Computer Science (2022) Vol. 3, Iss. 4
Closed Access | Times Cited: 4
Food Review Analysis and Sentiment Prediction using Machine Learning Models
Dhruv Gupta, Ausho Roup, Diksha Gupta, et al.
2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) (2022), pp. 1-7
Closed Access | Times Cited: 4
About Granular Rough Computing—Overview of Decision System Approximation Techniques and Future Perspectives
Piotr Artiemjew
Algorithms (2020) Vol. 13, Iss. 4, pp. 79-79
Open Access | Times Cited: 4
Relaxed Dissimilarity-based Symbolic Histogram Variants for Granular Graph Embedding
Luca Baldini, Alessio Martino, Antonello Rizzi
(2021)
Open Access | Times Cited: 4
A class-specific metric learning approach for graph embedding by information granulation
Luca Baldini, Alessio Martino, Antonello Rizzi
Applied Soft Computing (2021) Vol. 115, pp. 108199-108199
Closed Access | Times Cited: 3
On Granular Rough Computing: Handling Missing Values by Means of Homogeneous Granulation
Piotr Artiemjew, Krzysztof Ropiak
Computers (2020) Vol. 9, Iss. 1, pp. 13-13
Open Access | Times Cited: 2
CDE++: Learning Categorical Data Embedding by Enhancing Heterogeneous Feature Value Coupling Relationships
Bin Dong, Songlei Jian, Ke Zuo
Entropy (2020) Vol. 22, Iss. 4, pp. 391-391
Open Access | Times Cited: 1
A Multi-objective Optimization Approach for the Synthesis of Granular Computing-Based Classification Systems in the Graph Domain
Luca Baldini, Alessio Martino, Antonello Rizzi
SN Computer Science (2022) Vol. 3, Iss. 6
Closed Access | Times Cited: 1
On Information Granulation via Data Filtering for Granular Computing-Based Pattern Recognition: A Graph Embedding Case Study
Alessio Martino, Enrico De Santis, Antonello Rizzi
SN Computer Science (2023) Vol. 4, Iss. 3
Open Access
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